Practical articles for founders, developers, agencies, and operations teams that want AI agents to connect with real tools and automate real work.
YeloScale gives merchants a full commerce and delivery operating system with storefronts that AI search can read and an MCP server that AI agents can call safely. Here is how OHY Labs built it.
YeloInvoice is an invoicing, POS, and e-invoicing SaaS for Tunisian SMEs. OHY Labs built it spec-first with AI coding agents and designed its API to be MCP-ready from day one.
MCP gives AI agents a clearer way to connect to tools, data, and workflows. Here is what it means and why businesses should care.
Chatbots answer messages. AI agents can use tools, remember context, follow workflows, and take business actions.
AI agents can reduce repetitive work by handling emails, CRM updates, reports, support tasks, approvals, and internal operations.
Server monitoring AI agents can watch metrics, logs, uptime, and incidents while helping teams diagnose issues faster.
APIs expose functions for developers. MCP exposes tools for AI agents. Here is how they differ, how they work together, and when to use each.
A practical, non-hype guide to building your first business AI agent: pick the right workflow, connect tools, add guardrails, and ship something people trust.
Not every task is worth automating. Here is a practical way to rank your workflows so your first AI agent delivers a clear, measurable win.
Giving an AI agent access to your systems is a security decision. Here is how MCP lets you do it safely — scoped tools, permissions, approval, and audit logs.
OHY Labs can map your workflow, connect your tools, build the agent, and help your team launch it safely.